Evidence map›Paper›PMID 24455473›Full record

ArticleNeuroImage. Clinical2014

Ventral striatum gray matter density reduction in patients with schizophrenia and psychotic emotional dysregulation.

Katharina Stegmayer, Helge Horn, Andrea Federspiel, Nadja Razavi, Tobias Bracht, Karin Laimböck, Werner Strik, Thomas Dierks, Roland Wiest, Thomas J Müller and 1 more

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Katharina StegmayerUniversity Hospital of Psychiatry, Bern, Switzerland.
Helge HornUniversity Hospital of Psychiatry, Bern, Switzerland.
Andrea FederspielUniversity Hospital of Psychiatry, Bern, Switzerland.
Nadja RazaviUniversity Hospital of Psychiatry, Bern, Switzerland.
Tobias BrachtUniversity Hospital of Psychiatry, Bern, Switzerland.
Karin LaimböckUniversity Hospital of Psychiatry, Bern, Switzerland.
Werner StrikUniversity Hospital of Psychiatry, Bern, Switzerland.
Thomas DierksUniversity Hospital of Psychiatry, Bern, Switzerland.
Roland WiestSupport Center of Advanced Neuroimaging (SCAN), University Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern, Switzerland.
Thomas J MüllerUniversity Hospital of Psychiatry, Bern, Switzerland.
Sebastian WaltherUniversity Hospital of Psychiatry, Bern, Switzerland.
University Hospital of Bern · CHUniversity of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSubstantial heterogeneity remains across studies investigating changes in gray matter in schizophrenia. Differences in methodology, heterogeneous symptom patterns and symptom trajectories may contribute to inconsistent findings. To address this problem, we recently proposed to group patients by symptom dimensions, which map on the language, the limbic and the motor systems. The aim of the present study was to investigate whether patients with prevalent symptoms of emotional dysregulation would show structural neuronal abnormalities in the limbic system.

method43 right-handed medicated patients with schizophrenia were assessed with the Bern Psychopathology Scale (BPS). The patients and a control group of 34 healthy individuals underwent structural imaging at a 3T MRI scanner. Whole brain voxel-based morphometry (VBM) was compared between patient subgroups with different severity of emotional dysregulation. Group comparisons (comparison between patients with severe emotional dysregulation, patients with mild emotional dysregulation, patients with no emotional dysregulation and healthy controls) were performed using a one way ANOVA and ANCOVA respectively.

resultsPatients with severe emotional dysregulation had significantly decreased gray matter density in a large cluster including the right ventral striatum and the head of the caudate compared to patients without emotional dysregulation. Comparing patients with severe emotional dysregulation and healthy controls, several clusters of significant decreased GM density were detected in patients, including the right ventral striatum, head of the caudate, left hippocampus, bilateral thalamus, dorsolateral prefrontal and orbitofrontal cortex. The significant effect in the ventral striatum was lost when patients with and without emotional dysregulation were pooled and compared with controls. DISCUSSION: Decreased gray matter density in a large cluster including the right ventral striatum was associated with severe symptoms of emotional dysregulation in patients with schizophrenia. The ventral striatum is an important part of the limbic system, and was indicated to be involved in the generation of incentive salience and psychotic symptoms. Only patients with severe emotional dysregulation had decreased gray matter in several brain structures associated with emotion and reward processing compared to healthy controls. The results support the hypothesis that grouping patients according to specific clinical symptoms matched to the limbic system allows identifying patient subgroups with structural abnormalities in the limbic network.

Indexed as

AdultAnalysis of VarianceChi-Square DistributionFemaleGray MatterHumansImaging, Three-DimensionalMagnetic Resonance ImagingMaleMiddle AgedPsychiatric Status Rating ScalesPsychotic DisordersSchizophreniaStatistics as TopicVentral StriatumBrain circuitsDimensionsEmotional dysregulationLimbic systemPsychopathology

Identifiers

PMID24455473
PMCPMC3895617
OpenAlexW2021322744

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.